Senior Bioinformatician - Translational & Clinical Development

Senior Bioinformatician – Translational & Clinical Development

Bio Lizard is a leading bioinformatics consultancy partner for biotech and pharma organizations, helping to bridge biology, data, and AI. Our mission is to unlock insights that accelerate scientific innovation and clinical translation. As a Bio Lizard consultant, you’ll work on‑site in the UK or Belgium, embedded as part of the bioinformatics team of a key pharma client, supporting Translational and Clinical Development and contributing to development programmes that bring novel therapies to patients.

We are also seeking a second candidate at a more junior level to join this team.

You will drive the integration and interpretation of omics, translational and clinical data from patient studies to identify biomarkers, assess mechanisms of action, and inform clinical decision‑making.

• Process, analyze, and interpret molecular datasets from clinical studies, including bulk and single‑cell transcriptomics, spatial transcriptomics, proteomics, and epigenomics.
• Develop robust, reproducible bioinformatics pipelines tailored to patient‑level data and regulatory standards.
• Apply methods for pathway and network analysis, functional enrichment, and causal reasoning to derive clinical insights.
• Integrate omics and clinical variables to identify biomarkers of response, safety, or stratification.
• Ensure traceability and compliance with data governance, privacy, and quality standards in the clinical context.
• Prepare analytical reports, visualizations, and presentations for multidisciplinary clinical and project teams as well as scientific publications.
• Contribute to internal documentation, study reports, and scientific publications.

• PhD or Master’s degree in Bioinformatics, Computational Biology, or related field, with 5–10 years of relevant experience in clinical or translational bioinformatics in a business context.
• Strong expertise in analysis of patient‑level omics data (bulk/single‑cell RNA‑seq, proteomics, epigenomics, spatial data).
• Understanding of clinical study design, data privacy, and regulatory‑compliant analysis.
• Proficiency in R and/or Python; experience with HPC, cloud, and containerization (e.g., Docker).
• Strong foundation in statistics, data mining, and visualization.
• Ability to work independently and deliver against deadlines, as well as to synergise within interdisciplinary teams, enabling and empowering them to deliver high‑quality scientific results. Excellent written and verbal communication skills and the ability to engage both scientific and clinical audiences. Excellent stakeholder management is essential.

• Experience integrating omics with clinical and phenotypic data to inform biomarker hypotheses.
• Familiarity with FAIR data principles, reproducible research, and GxP environments.
• Understanding of disease biology (neurology, immunology, rare disease) for contextual interpretation.
• Track record of contributions to peer‑reviewed publications or clinical project reports.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Contract
• Job function:
  Research, Analyst, and Information Technology